[CvGmt News] seminario Lancia 21/1
Daniele Castorina
castorin at mat.uniroma2.it
Thu Jan 16 16:35:44 CET 2014
Cari colleghi,
vi segnalo il prossimo seminario di ED a Tor Vergata, ricordandovi la
pagina web del seminario stesso all' indirizzo
http://www.mat.uniroma2.it/~castorin/Seminario-PDE.html :
Martedi' 21 Gennaio 2014, h 14:15, Aula Dal Passo
Carlo Lancia (Universita' di Roma "Tor Vergata")
"Power series approximation of the EDA/D/1 system"
Consider the arrival process defined by $t_i = i + \xi_i$, where
$\xi_i$ are i.i.d random variables. First introduced in the 50's,
this point process is of remarkable importance in transportation
systems, where scheduled arrivals are intrinsically subject to
random variations; the model has also proved capable of delivering a
good description of actual job arrivals in health care and crane
handling systems. In this talk I will consider a queueing model
where the customers arrival time are defined as above, and the
service is delivered by a unique server at deterministic times. Such
a queueing model shows an excellent fit with actual data from the
London Heathrow International Airport. In the case where the delays
$\xi_i$ are exponentially distributed, the queueing model above is
represented by the code EDA/D/1 in the Kendall's notation. I will
describe the EDA/D/1 model as a bivariate Markov chain and obtain a
functional equation for the bivariate generating function of the
chain stationary distribution. Solving that functional equation for
the bivariate generating function is a very tough problem. A
possible strategy to solve this problem is to consider a power
series approximation in a parameter related to the standard
deviation of the delays. I will first show the solution arising from
the power series approximation, and then discuss its pros and cons.
--
Daniele Castorina
Dipartimento di Matematica - Studio 1221
Università di Roma "Tor Vergata"
Via della Ricerca Scientifica 00133 Roma
email: castorin at mat.uniroma2.it
tel: +390672594653
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